Data Analyst (m,f) Thai

Location: Bangkok, Thailand

Work model: Hybrid

Employment type: full time.

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  Analyze business data across deposits, withdrawals, trading volumes, customer behaviour, IB/partner structures, promotions, bonuses, and other key commercial areas

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  Identify anomalies, unusual trends, data discrepancies, and potential business risks and investigate their root causes

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  Reconcile data across CRM, trading platforms, internal ledgers, and other systems to ensure accuracy and consistency

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  Build, maintain, and automate recurring daily, weekly, and monthly reports for management and business teams

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  Translate complex datasets into clear findings, insights, and recommendations for non-technical stakeholders

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  Investigate business questions using data, including customer behaviour, churn, promotion performance, and the impact of operational or policy changes

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  Proactively identify growth opportunities and areas for business improvement through data analysis

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  Work closely with IT and AI teams to identify additional data requirements, queries, and datasets

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  Document data sources, methodologies, assumptions, and findings to ensure transparency and reproducibility

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  Continuously improve analytical processes and reduce reliance on manual reporting.

• Minimum 2 years of professional Data Analysis experience

• Fluent in English both verbal and written

• Strong SQL skills, including multi-table joins, window functions, and working efficiently with large datasets

• Hands-on Python experience for data analysis using pandas, Polars, or similar tools

• Strong analytical mindset with the ability to investigate anomalies and determine root causes

• Ability to translate complex data into clear business insights and recommendations

• Strong written and verbal communication skills, including presenting findings to non-technical stakeholders

• Comfortable using AI tools such as ChatGPT, Claude, or similar solutions as part of analytical workflows

• Strong ownership mentality with the ability to independently drive analytical tasks from question to conclusion

• Experience within Forex/CFD, brokerage, fintech, payments, or another financial services environment is considered a strong advantage

• Experience with financial reconciliation, dashboards, A/B testing, cohort analysis, or statistical analysis is considered an advantage

• Knowledge of DuckDB, Polars, Grafana, Metabase, Looker Studio, or similar tools is considered an advantage.

• Hybrid working model

• Work with real business and trading data that directly influences company decisions

• Modern analytics environment using SQL, Python, Polars, DuckDB, PostgreSQL, Grafana, and AI-powered analytical tools

• Opportunity to automate and improve existing reporting and analytical processes

• Direct exposure to commercial, trading, customer, and financial data within the Forex/CFD industry

• Career development towards broader ownership of company analytics and data standards

• And many more!